Wayne Wu
吳文巖
About Me
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I am currently a third year Ph.D candidate in the Tsinghua National Laboratory for Information Science and Technology (TNList Lab), Department of Computer Science and Technology, Tsinghua University, advised by Prof. Qiang Zhou. I also work with SenseTime Research. My research interest is in computer vision and machine learning, especially facial landmark detection and adversarial learning. I used to work with Prof. Zhoujun Li during Sep. 2013 to Jun. 2014. |
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News
- The Testing Code and Models of LAB are publicly available now. (2018-7-26)
- The Wider Facial Landmarks in-the-wild Dataset (WFLW) are publicly available now. (2018-7-15)
- Our paper ReenactGAN is accepted to ECCV 2018. (2018-7-10)
- Our team won the WebVision Challenge 2018 as first runner-up. (2018-6-20)
- Our paper LAB is accepted to CVPR 2018. (2018-02-26)
- Our paper DVLN is accepted to CVPR Workshop 2017. (2017-05-10)
Publication
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ReenactGAN: Learning to Reenact Faces via Boundary TransferWayne Wu*, Yunxuan Zhang*, Cheng Li, Chen Qian, Chen Change Loy. European Conference on Computer Vision (ECCV), 2018. (* indicates equal contribution.) [Paper] [Project Page] [Code and Model] |
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Look at Boundary: A Boundary-Aware Face Alignment AlgorithmWayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, Qiang Zhou. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [Paper] [Project Page] [Code and Model] |
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Leveraging Intra and Inter-Dataset Variations for Robust Face AlignmentWayne Wu, Shuo Yang. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2017. [Paper] [Project Page] |
Teaching
- 2014, Spring. Discrete Mathematics, BUAA
- 2016, Spring. Combinatorial Mathematics, THU
- 2017, Spring. Numrical Analysis, THU
Selected Honors and Awards
- Excellent Undergraduate Student in Beijing, 2015
- Outstanding Undergraduate Thesis, 2015
- National Scholarship (top 1%), 2014.